In this role as a data science developer with one of the leading investment companies in the world, you will gain heavy exposure to machine learning and data science. You will operate as a data engineer, with the purpose of making data available for data science purposes, productionising machine learning algorithms and collaborating with scientists and analysts to gain value out of data.

THE COMPANY:

This company are hugely successful in the investment world, and are one of the leading investment management companies in the world. Boasting a multi-billion pound portfolio, they are using huge data-sets to drive the success of the business. This is done with heavy impetus on machine learning and data science, and this is where they see the future of the industry to lie.

THE ROLE:

As a data developer within the data science unit, you will:

Create pipelines of information for investment purposes and build the system that brings data in-house.

Have a hands on impact on the development of software that puts insights at the forefront of the company.

Will work closely with data scientists to productionise machine learning algorithms.

Make data available for advanced analytics.

Create and optimise ETL processes, using Python, SQL, HDFS and Hive.

YOUR SKILLS AND EXPERIENCE:

As a data science developer, you will:

Be highly skilled in data engineering practices, such as ETL processing and OO programming.

Have hands on experience using SQL and Python for data purposes.

Have worked on data solutions using cloud technology, preferable AWS/Azure.

Have hands on experience using big data sets and the relevant technology, such as Hadoop, HDFS, Python, AWS, Redshift.

BENEFITS:

The opportunity to develop your skills in machine learning and data science.

A chance to work in a company that not only processes huge data sets, but puts data at the forefront of everything they do.